Expert Data Scientist (Analytics Data)
The role:

The Expert Data Scientist (Analytics Data) will be responsible for building, maintaining, and optimizing analytical data capabilities that enable scalable data ingestion, transformation, modeling, and access across analytics platforms such as Power BI, Snowflake, Databricks, and Azure. This role develops reusable data models, pipelines, frameworks, automation, and analytical platform patterns that ensure data is reliable, performant, secure, cost-effective, and aligned with enterprise standards for governance, security, quality, and interoperability.

The role will operate as an expert technical contributor, partnering closely with business, analytics, data product, engineering, architecture, security, platform, and regional/integral IT stakeholders to strengthen the data foundation for BI, advanced analytics, AI/ML, and enterprise data products.

What you’ll do:
As an Expert Data Scientist (Analytics Data) you will:
- Design, build, maintain, and optimize analytical data capabilities that support scalable data ingestion,



processing, transformation, modeling, governance, and access across Power BI, Snowflake, Azure Datalake, Databricks, and related cloud data services.
- Develop reusable analytical datasets, data pipelines, engineering frameworks, templates, automation scripts, and standard patterns that accelerate delivery while reducing operational friction, duplication, and technical risk.
- Optimize Snowflake, Power BI, Databricks, Azure Synapse, and related analytical platform components for performance, reliability, scalability, cost efficiency, observability, and operational resilience.
- Embed governance, security, quality, lineage, metadata, access controls, auditability, and compliance requirements into analytical data capabilities and data engineering patterns by design.
- Partner with data engineers, analytics engineers, data product teams, architects, platform teams, and business stakeholders to translate

📌 Expert Data Scientist (México)
🏢 Nespresso Deutschland
📍 México